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Aggregation [9], DP-SGD [10]. Analyze trade-offs between privacy and robustness in different scenarios, including non-i.i.d. data distributions. [1] Zhu et al. Deep Leakage from Gradients. NeurIPS 2019. [2
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to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
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the electrochemical performance of Na-ion batteries in the newly developed cell with the support of researchers from IRAMIS and IRIG. The sodium distribution in full cells will then be particularly investigated in
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to modelise DNA repairs Test of various algorithms to solve these models Development of an highly efficient code, based on Kokkos, to implement the previous Skills : You have a master and/or an engineering
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of supercomputing libraries for supercomputers. The position is located at Maison de la Simulation team (https://mdls.fr), in Saclay (near Paris), but our team is distributed in the following other locations: Inria